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--- |
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tags: |
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- generated_from_keras_callback |
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest |
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model-index: |
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- name: bias_identificaiton2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# bias_identificaiton2 |
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.7723 |
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- Train Accuracy: 0.3591 |
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- Validation Loss: 1.7726 |
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- Validation Accuracy: 0.3605 |
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- Epoch: 4 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 1.8029 | 0.3485 | 1.7758 | 0.3605 | 0 | |
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| 1.7810 | 0.3572 | 1.7685 | 0.3605 | 1 | |
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| 1.7760 | 0.3576 | 1.7775 | 0.3605 | 2 | |
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| 1.7733 | 0.3596 | 1.7700 | 0.3605 | 3 | |
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| 1.7723 | 0.3591 | 1.7726 | 0.3605 | 4 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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